aiLL April 29, 2023 - Inside the AI Revolution - What It Means for You

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0:00 hey everybody
0:01 if you have any questions about AI feel
0:04 free to
0:05 drop it in the chat and I'll address
0:08 anything
0:09 one of the things that
0:12 I've talked about on the channel I've
0:14 actually got these things pinned is that
0:17 I think what we're going through in in
0:18 2023 with AI is very very reminiscent of
0:23 what I experienced in 1995 when I
0:25 discovered the World Wide Web discovered
0:27 it in 94 and started one of the early
0:30 online magazines and
0:33 this this time is is very very similar
0:37 where not a lot of people know what's
0:41 going on
0:42 um even though a lot of people are using
0:44 this and
0:45 certainly on Tick Tock and YouTube there
0:47 are a lot of people telling you they
0:49 know what's going on the reality is
0:50 nobody knows what's going on
0:52 um
0:53 we are so incredibly early the
0:56 difference between then and now is that
1:00 the speed of innovation is is
1:04 dramatically higher and the
1:08 um the quality of the output of the
1:10 tools is
1:12 um
1:13 is way more impressive so what you can
1:16 do with AI compared to what you could do
1:18 with the web that can
1:20 in the mid 90s like the the web in the
1:23 mid 90s was ridiculous you know you
1:24 could do hyperlinks and you could input
1:26 some images but that was about it
1:28 anything else was was very very uh it
1:32 was just very very basic but even with
1:34 that basic stuff we we did some
1:37 remarkable things
1:39 um what's happening with AI is the tools
1:41 are profoundly more powerful
1:45 um just I like it
1:47 I think I've said this in a couple of of
1:50 of my videos that I just I feel like for
1:53 the past four months I've just been my
1:55 jaw's been hanging open about everything
1:57 that is coming
2:00 um
2:00 or everything that's here and and how
2:03 quickly everything's coming so uh yeah
2:06 it's it's crazy uh welcome if you're
2:09 here I see 19 of you if you have any
2:11 questions uh put them in the chat I'm
2:14 happy to
2:16 you talking about links or what I'm
2:18 talking about AI I'm talking about
2:20 generative AI
2:22 and what's that say
2:26 um you can ask me about AI I don't know
2:28 anything about links uh I don't even
2:30 know if that's a game or an operating
2:32 system or what
2:34 or do you mean links back in the 90s
2:36 like Lynx browsers
2:38 uh that were text browsers uh I was
2:40 talking about the parallels between
2:43 um
2:43 the World Wide Web sort of being birthed
2:47 and coming alive in the mid 90s
2:49 and how that compares to what's going on
2:51 right now with uh with AI and and that
2:55 there's a lot of parallels there and
2:58 [Music]
2:59 it's
3:01 here's the feeling that I have
3:02 everything has changed but nobody knows
3:05 it yet how we do everything we're gonna
3:08 do from work
3:10 to how we create software
3:12 um to how we interact is going to
3:17 um is going to change
3:19 hello Chanel how are you good to see you
3:22 uh if anyone has any questions about AI
3:24 about some of the tech going on or if
3:27 they're trying something and can't
3:29 figure it figure it out please let me
3:31 know hey from Toronto
3:34 um I'm happy to talk about it this is my
3:37 first live so I'm just trying to figure
3:38 out you know do I have anything
3:39 interesting to say do you have any
3:41 interesting questions is it worth me
3:42 doing this uh so so let me know uh how
3:46 this could be of value
3:47 let's see so I've seen a lot of AI
3:50 avatars that speak on Tick Tock how do
3:53 they generate that
3:55 so there's there's a lot of different
3:57 ways to do that
3:59 um there there's a site called Synthesia
4:03 there's a site called
4:05 d-i-d.com
4:07 there's I don't know there's there's a
4:09 handful of them and you can create those
4:13 avatars in one of two ways you can just
4:15 type text and it will create fully
4:17 synthesized
4:19 um
4:20 uh voices or you can record audio and
4:24 then it will animate a face to that
4:27 recorded audio so
4:30 um yeah let's see
4:34 um
4:35 can I say Michael cheese Harry
4:39 Michael my coochie's Harry is that what
4:41 you're trying to go to yeah I can say
4:42 that
4:43 I don't have a coochie but happy to say
4:45 that
4:46 let's see uh what else do we have here
4:49 good to see you good to see you too
4:51 um I came in late but I love the topic
4:53 yeah topics AI if you want to chat AI
4:56 hang around ask me questions
4:58 uh encourage my viewers to share your
5:02 life all right share this live and
5:03 encourage your friends to come see you
5:06 don't have to do that
5:08 um I can pin a comment uh yeah so I'm
5:11 Kyle Shannon this is the AI learning lab
5:12 if you are if you just stumbled on here
5:15 my channel is all about talking about
5:16 generative AI
5:18 um how quickly it's coming uh what its
5:21 implications are how to incorporate it
5:23 into your business or into your life or
5:25 if those two are very blurry
5:28 um how to deal with that
5:29 uh Synthesia uh
5:34 s-y-n-t-h-e-s-i-a is one of them and
5:37 dash id.com in fact I can go there hang
5:40 on
5:41 go to Dash id.com
5:46 this is one of the ones I've used before
5:48 so let me log in here
5:52 and hold on I'm logging on
5:57 um
6:02 yeah so if I say create video
6:06 let's see so here's the thing so I've
6:08 got some images down here I've got some
6:10 that I created and put in there so
6:11 here's here's one of me um from my uh
6:14 Kyle Shannon dreams project so I can now
6:18 just
6:19 um select a voice
6:21 so we'll grab a dude we'll grab I don't
6:23 know who's this Stefan
6:26 this is Stefan in American English and
6:28 then we'll type in something here
6:30 hello
6:32 Tick Tock live
6:34 how
6:36 are you
6:38 this is how you make an animated Avatar
6:48 um
6:49 oh let's see hope
6:52 fully
6:54 this makes it make more sense what's
6:58 what's remarkable about this Tech and
7:00 now I'm going to say generate video
7:03 and it's going to do that what's
7:05 remarkable about this Tech is that you
7:07 know this is the kind of thing that even
7:09 six months ago you would have had to
7:10 import this into
7:12 you know 3D software like blender create
7:15 meshes
7:17 create animation uh Frameworks I forget
7:20 what they're called and do it and now
7:22 I'm just taking an image that I created
7:25 in
7:26 um in mid-journey or this was stable
7:28 diffusion actually I uploaded it into
7:31 this thing talk live
7:34 how are you this is how you make an
7:37 animated Avatar hopefully this makes it
7:39 make more sense
7:42 right
7:43 so that's that's how it it uh that's how
7:46 it works hey gen xer here that is blown
7:49 away by IAI yeah hello fellow gen xer
7:53 um we're out there nobody talks about us
7:55 much but but we're out there kicking ass
7:58 so so welcome Gen X uh so so I'm happy
8:03 to show you anything if you guys want to
8:05 take a look I'm happy to show you
8:06 anything if I know how to do it
8:08 um is w h Will Wait we'll let
8:14 will Buck AI with mask in any way I
8:17 don't know what that means let's see so
8:20 are you a lecturer Professor or just an
8:21 expert in this field
8:23 I hope it's not a rude question it's not
8:25 a rude question I don't know what I am I
8:27 am just a guy I'm an entrepreneur
8:30 um I'm the CEO of a company called
8:32 storyvine uh we'll be 11 years old on
8:34 May 1st so we've been around for a while
8:36 I've been I'm a Storyteller by training
8:39 and
8:41 um I was very active in the early days
8:43 of the web so I started one of the first
8:44 digital agencies and one of the first
8:46 online magazines
8:48 um I think this AI stuff is the second
8:51 big revolution of technical Revolution
8:54 that I will have experienced in my life
8:55 actually the third the first one was the
8:58 PC Revolution when I was in in seventh
9:00 grade I got my first hands on my first
9:02 PC and I recognized that I was just too
9:05 young to be part of that Revolution but
9:07 you know recognized that it was a big
9:09 deal the web in my opinion was the next
9:11 big revolution that kind of changed how
9:14 we communicate you know entirely and I
9:17 think this AI stuff is the third one so
9:19 I started this Channel about four months
9:22 ago
9:23 um really just as a way to kind of
9:25 process what I was learning and to kind
9:27 of get things out of my head
9:29 um so I do I Don't lecture I'm not a
9:32 professor but I love teaching and I love
9:34 evangelizing this stuff because I think
9:36 that
9:37 it's tremendously exciting what's going
9:39 on right now but it's also tremendously
9:42 scary and I think the level of
9:44 disruption is going to be
9:47 insane
9:48 uh and and I think that the best
9:51 antidote
9:53 to to both the fear and the impact of AI
9:57 is to get curious about it to learn
9:59 about it um to explore it to figure it
10:01 out so so that's what this channel is
10:03 about that's what uh
10:06 that's what my whole MO is lately
10:09 um this is my first live so I don't
10:11 really know what the hell I'm doing here
10:12 so if I suck just you know let me know
10:15 uh true it's very scary uh White House
10:18 oh so there's a thing about the White
10:19 House here
10:21 is is the White House going to block I
10:23 AI or mask it in any way well
10:26 okay so so that's that's a really good
10:28 question
10:31 um
10:34 the power of AI is profound it's its
10:38 ability to do both tremendous good and
10:40 tremendous damage is out there
10:43 um I think
10:45 prior to November 30th 2022 this would
10:48 be a very different conversation
10:50 um the significance of that date that
10:52 was the date that chat GPT was released
10:54 why is chat GPT a big deal well it's
10:58 it's a very similar kind of uh comparing
11:01 it back to the 90s the internet had been
11:03 around for decades and the World Wide
11:05 Web now made that internet much more
11:07 accessible to just regular people if you
11:09 could learn a little bit of HTML you
11:10 could build a website and you could you
11:12 know participate in the internet
11:14 it was much harder than that before
11:17 um chat EPT is a similar kind of simple
11:19 interface on a thing that had really
11:21 just been relegated to data scientists
11:23 and and Geeks and things like that
11:25 there's a lot of other things go on that
11:27 led up to chat GPT
11:30 but to to put it in perspective the
11:34 um
11:35 the World Wide Web to get to 100 million
11:38 users took
11:40 um eight years chat GPT got to 100
11:43 million users in two months two months
11:46 and so what's happened is this
11:48 um the the the the the massive adoption
11:51 of chat GPT has essentially forced all
11:54 the other companies Google meta I'm sure
11:57 we're going to see something from Apple
11:58 in June
11:59 um AWS
12:01 plus a lot of Open Source projects to to
12:03 push all of their technology out into
12:05 the marketplace I don't think I I
12:07 honestly don't think that would have
12:09 happened I think these companies tend to
12:11 be conservative and they keep it all
12:12 behind closed doors check EBT has sort
12:15 of forced everyone Out of the Shadows
12:18 um so so many many people are starting
12:21 to use these tools now and they are you
12:25 know going to impact business and
12:28 um revenue and profitability and
12:32 disinformation in an election year all
12:35 of this stuff is gonna it's gonna come
12:36 at us quite quickly so I think that
12:38 regulation is required
12:41 um I don't think the White House is I
12:43 mean if you look at the hearings on Tick
12:45 Tock alone I mean the the Congress
12:48 people they don't understand how basic
12:51 Wi-Fi works so I don't know I don't know
12:54 quite how they're going to regulate
12:55 something like AI I think they will try
12:58 to regulate it
13:00 um I think they will fail miserably for
13:03 a while the the other thing that's
13:04 happened last week four different
13:07 large language models were released to
13:10 the to open source stability AI released
13:13 one there was Dali 2.0 d-o-l-l-y not the
13:17 image generation thing but uh Dolly I
13:20 forget the name of the company that that
13:21 had it
13:22 um but but these open source large
13:25 language models
13:26 um are open source they're not going to
13:28 have any safety controls on them so I
13:30 think regulations needed I don't think
13:32 the White House is going to be able to
13:34 put their their arms around this thing I
13:36 don't think anyone is I think I think
13:38 this is
13:39 um cat out of the bag technology so
13:41 so that's what's going on let me see
13:43 what other comments we have here
13:46 um
13:48 I'm in China the Chinese
13:51 uh already broken chat GPT I've heard
13:54 they're trying to make their I'm sure
13:55 they are I listen I think I think
13:58 um Chinese artificial intelligence is
14:00 probably quite Advanced I I would assume
14:03 it's quite Advanced now it might not be
14:05 Advanced and out in the Public's hands
14:08 um but yeah I think I think China's
14:10 probably got some data scientists and I
14:12 I think
14:14 the technology that chat GPT was built
14:17 on everybody's had access to since 2017.
14:20 so so everything that we're seeing right
14:21 now whether it's image generation or
14:23 these audio generation things or the
14:26 um text to video or chat gbt or Bard or
14:30 or you know anything anthropic all of
14:32 their sort of stuff is all based on this
14:34 technology that Google created and
14:36 introduced in 2017. called the
14:40 Transformer and the the big deal about
14:42 the Transformer is that it allowed
14:44 these AI neural networks to be trained
14:48 on massive amounts of data and chat GPT
14:51 in particular a couple of things made a
14:53 powerful
14:54 um gpt3
14:56 um was was the one that was kind of
14:57 trained on all of the internet
15:00 um and then they used a thing called
15:03 human reinforcement learning where they
15:04 had human beings at open AI use the tool
15:08 get the answers back and then they would
15:10 give it sort of thumbs up thumbs down of
15:12 whether that answer was good or not and
15:14 very very quickly the tool got better at
15:16 what it did by humans telling it whether
15:19 the answer was good or not
15:20 the other thing that happened which is
15:22 really fascinating is they also
15:25 um trained it up on programming
15:27 languages so they made it very very good
15:29 at coding understanding code
15:32 and an interesting thing happened that
15:34 was I think they called them emergent
15:36 properties
15:37 um the emergent property that came out
15:40 when they taught
15:41 gpt3 how to code or you know to
15:44 understand code was that the language
15:46 processing got dramatically better so I
15:48 think my my
15:50 um uh you know uh sort of fake
15:53 assumption or just my assumption based
15:56 on no knowledge is that if it
15:58 understands programming logic and
15:59 understands logic better
16:01 um and so I think that made the language
16:02 better so so
16:05 um they they had a dramatic breakthrough
16:07 the reason chat GPT or gpt3 was so good
16:11 I think was this combination of of
16:13 programming understanding code and
16:15 understanding this massive data set all
16:17 of the internet basically
16:20 um and then gpt4 is just a much more
16:21 sophisticated version of that so back to
16:23 the China thing
16:25 um
16:26 how open AI did what they did is is
16:29 probably relatively straightforward from
16:32 a technical perspective uh to replicate
16:34 the elements that they used the the sort
16:37 of proprietary bits about how they train
16:39 things that might be harder to reverse
16:42 engineer but I don't know I'm not a data
16:44 scientist so uh so it's very possible
16:46 that
16:48 um
16:49 that they can reverse engineer in China
16:52 um but I here's the thing about these
16:55 large language models I think the large
16:56 language models are going to be
16:58 ubiquitous they're going to be
16:59 everywhere everyone's going to have one
17:00 you're going to have lots of different
17:02 um options to choose from there's going
17:05 to be open source really crazy versions
17:07 that have no safety controls on them
17:09 there's going to be ones that are used
17:11 by business that have lots of safety
17:12 controls on them there's going to be
17:14 large language models that are built on
17:16 top of private data sets like there's
17:18 one called Bloomberg GPT that's based on
17:22 Bloomberg proprietary financial data
17:25 um so these things are going to be
17:26 everywhere so
17:28 that's my two cents on that let's see
17:31 any other questions feel free to ask
17:33 questions about
17:35 um anything AI I can I can show you
17:37 things on screen uh if if you've got
17:40 things you want to see I can mess around
17:43 with GPT and show you their chat GPT and
17:46 show you some of the things I'm doing
17:47 there I'm also happy just to talk about
17:51 uh whatever Jasper uh Jasper meaning the
17:54 the copywriting tool hang on
18:00 Jasper AI so yeah so Jasper is
18:03 interesting Jasper came out before chat
18:06 GPT
18:08 and
18:10 where is it there it is
18:12 um but Jasper is built it's basically a
18:15 front end on top of
18:18 um gpt3 at this point it's probably on
18:20 top of gpt4
18:22 um but but Jasper is basically like a
18:24 really fancy version of chat GPT and and
18:28 so all of the little tools that they
18:30 have like here's a Blog writing tool and
18:32 a tweet writing tool those are just
18:33 basically pre-prompted little
18:36 um uh tools that sit on top of GPT so
18:40 it's actually
18:42 quite similar technically to to chat GPT
18:46 but it's much more specialized for for a
18:50 bunch of specific writing tasks you
18:52 could accomplish just using chat GPT and
18:54 clever prompting all of the same things
18:56 that Jasper does that you pay for but
18:59 you'd have to figure out the prompts to
19:00 get it to do that well
19:02 um so so there's and that's actually an
19:05 important thing to understand that using
19:08 the core model using GPT 3.5 or gpt4
19:13 um where you're interacting with the
19:15 model directly gives you a lot more
19:18 power and flexibility but you have to
19:20 figure everything out there's going to
19:22 be a whole series of
19:24 um applications that are built where
19:26 someone has figured out ah I figured out
19:29 a way to have chat EBT help you write a
19:31 novel and all that's going to be is
19:33 they've figured out a series of prompts
19:35 in a row that walk you through you know
19:37 asking you a series of question and
19:39 they're basically just sending their
19:40 prompts to to the G GPT models to give
19:43 you those answers so if you are curious
19:47 and and like to explore things figure
19:51 that stuff out on your own if you're not
19:53 and you're just like I want a tool to
19:54 help me write for my business
19:56 um then use Jasper or copy AIS another
19:59 one
20:01 um McKinsey
20:03 I forget McKenzie's last name but but
20:06 the guy who created um GPT boss he's
20:09 doing one of these where where rather
20:11 than it being writing tools you're
20:12 hiring different assistants so you've
20:14 got a writing assistant and a marketing
20:17 assistant and a coding assistant and
20:18 things like that so so that's what those
20:20 tools are all about
20:22 let's see AI can now do let's see have I
20:26 tried any plugins code I've I've tried a
20:29 little bit of the plugins I haven't
20:30 played a lot they're they're really
20:33 weird right now like how you find
20:35 plug-ins they're not making it easy for
20:37 you to find plugins I think on purpose
20:40 um the plugins right now are very
20:41 limited it's it's relatively easy to
20:44 develop a plug-in I haven't done it yet
20:46 but it's relatively easy to develop them
20:49 but then you can only give them to like
20:52 15 people so so the plug-in thing right
20:54 now is incredibly promising but I think
20:57 they're trying to figure out all the
20:58 safety issues
21:00 um I know that there's a browsing
21:01 plug-in which that one I'm really
21:03 interested in I don't have access to it
21:05 yet but the browsing plugin will allow
21:07 you to have chat GPT if it doesn't have
21:10 up-to-date information like anything
21:12 post September 2021 you can go out and
21:16 search on the internet and find that
21:17 data and incorporate that into your
21:19 answer or you could do citations things
21:21 like that
21:23 um so I haven't tried them yet but I
21:25 mean I have tried them but I haven't dug
21:26 in deep enough to really know what's
21:28 going on there so I'm kind of useless
21:29 there all right AI can now do
21:31 predictions for Market stock that's
21:33 interesting no
21:35 um it is interesting I you know again I
21:39 I feel like there are tremendous amount
21:41 of people on Tick Tock and YouTube going
21:43 you know you can write a trading bot
21:45 with chat gbt and make thousands a day
21:48 and you know they show one example where
21:50 it made some money and then you know the
21:52 rest of them I think they lose money I
21:54 think I think trading bots in general
21:56 people have been trying to make trading
21:58 Bots that can can outsmart the market
22:01 for decades uh and haven't successfully
22:04 done it or if they have they're staying
22:07 quiet about it because they're getting
22:08 rich on it you know people tend to get
22:10 rich writing trading Bots by selling
22:12 them to other people
22:14 um so
22:15 um that's not to say that
22:19 um chechi PT or you know gpd4 or
22:22 whatever you know these large language
22:24 models
22:25 won't be able to help us solve issues
22:28 like that so I think at some point
22:29 someone's going to figure out a way to
22:31 to predict a marketer to do predictions
22:33 in a way that's actually valid and not
22:36 just scammy whether or not they share
22:39 that with the world we'll have to see
22:41 um let's see latest news
22:45 would I recommend any online courses
22:47 related to understanding these things in
22:50 chat gbt
22:51 um not really we're we're so early here
22:55 that here's what I can tell you about
22:57 experts
22:59 um even like myself is don't trust any
23:01 of them because anyone that tells you
23:03 they know what's going on is lying now
23:06 does that mean there aren't experts out
23:08 there who figured out really clever ways
23:10 to write GPT prompts sure there are and
23:13 you could take those courses but you can
23:16 also find that information for free you
23:18 could also have here's a fun one
23:21 have chat GPT be your tutor ask it to um
23:26 tell you how to write prompts
23:29 um for for the project you want to do
23:31 and then use the prompts it gives you
23:32 and if you don't understand something
23:34 tell it to teach you
23:36 um I would say that's that's probably
23:38 more effective than paying someone to
23:40 teach you because the problem with by
23:41 the time you put a course together
23:43 even if you use GPT to put it together
23:46 quickly it's already out of date
23:48 um so so any of these courses you're
23:51 going to kind of be behind the eight
23:52 ball just things are things are moving
23:53 so fast so
23:55 um
23:56 if if you feel really lost and like you
24:00 don't know where to start you can do
24:01 that I would say in that case you know
24:04 follow on Tick Tock if you find people
24:06 that are doing stuff or YouTube there's
24:09 plenty of tutorials out there for free
24:10 that can get you started
24:12 um one way to do this is I I think there
24:15 are there are two things that you can
24:16 start with that that are
24:19 um are the place to start to just start
24:21 to get your head around this one is text
24:23 generation so chat GPT and one is image
24:26 generation so stable diffusion or
24:29 mid-journey or Dolly
24:31 um any of those kind of tools and and I
24:33 created on on The Tick Tock channel here
24:36 a thing called the 2023 smart challenge
24:38 which is
24:40 um
24:41 pick a project or pick two projects one
24:44 personal and one for your business or
24:47 your community or your family and use a
24:50 combination of chat GPT and image
24:53 generation to
24:55 do a project to solve a problem it could
24:57 be create a children's book for your kid
24:59 it could be I don't know
25:03 um solve a marketing problem for your
25:05 community organization or for your
25:07 business
25:08 um and rather than just trying to figure
25:11 out what do I do with chat GPT actually
25:13 try to solve a problem so so someone
25:15 comes to you and says you know I don't
25:17 know how to put together a marketing
25:18 plan use Chachi PT to do that that's
25:20 probably the best way to learn right now
25:22 is just get your hands on these tools
25:24 and start playing so hope that helps
25:27 um
25:28 where do you see AI in 50 years this is
25:31 a great question I I wouldn't have had
25:32 an answer to this but I I talked to a
25:34 friend of mine who said he's been
25:36 thinking about AI in a 30 to 50 year
25:38 time frame
25:40 and and he gave me the answer so I'm
25:41 going to basically just parrot his
25:43 answer because I think it's quite good
25:44 he said he thinks in a 30 to 50 year
25:46 time frame the impact on AI is that
25:49 everything that's complicated right now
25:51 will be simple meaning this any
25:54 complicated system like say
25:58 um
25:59 buying a house or buying a car or doing
26:02 your taxes or selling a business
26:05 anything you know a lawsuit just
26:09 anything that's complicated
26:11 will be fully automated all of the
26:13 complicated parts will be taken care of
26:16 by Ai and and so everything will get
26:18 quite simple you will ask for things and
26:21 the complicated stuff will be done
26:23 I think one of the possible implications
26:25 of that is that it it returns us as
26:28 humans back to reconnecting as humans
26:31 that the machines can start to do
26:34 let's see
26:36 invite to wait what is this what am I
26:39 accepting here sorry hold please
26:41 I don't know someone invited me to do
26:43 something I don't know what it was
26:45 um anyway so so
26:47 um and and the implications of that are
26:48 quite profound so for example right now
26:50 if you want to use all of the super
26:53 secret tax loopholes you have to be kind
26:55 of loaded and have the best accountants
26:57 in the world and and you know they
26:59 figure out those tax Loops loopholes for
27:01 you and invest in the Cayman Islands and
27:03 do all that crap right they're expert at
27:06 at managing the complex systems and they
27:08 get paid a lot of money to do that
27:10 well what happens when everyone in the
27:12 world has this effectively the the
27:14 world's best accountant doing all of
27:16 that work for them well the revenue that
27:19 that is lost by everyone having all the
27:22 tax loopholes will change tax laws
27:25 um same if if the FED drops their rate
27:28 right now not everyone refinances their
27:31 home because it's complicated but you
27:32 could have a system where the minute the
27:34 FED drops the interest rate your house
27:36 automatically or you know your system
27:38 automatically refinances your house
27:40 so so I think very complicated systems
27:43 get very very simple and I think the the
27:45 you know the the impact of that is that
27:48 laws will have to change how we interact
27:50 will change all that sort of stuff so I
27:52 don't know what a I will look like but I
27:53 think that
27:54 um it's very possible that a lot of the
27:57 complexity that our world today is based
27:59 on
28:00 um kind of drops into background noise
28:02 which which would be kind of nice I
28:04 would I would like it not to be so
28:05 complicated what are my thoughts on the
28:07 impacts of the management
28:09 Consulting industry knowledge workers
28:12 are in trouble so what I would say is
28:15 this
28:16 um to the extent that you rely on time
28:20 and materials to the extent that you
28:23 take two weeks to answer a question for
28:26 your clients to the extent that you rely
28:29 on I don't know a scarcity mindset
28:33 um to to drive the value of your
28:34 business you're in trouble
28:37 um because
28:41 a lot of the work that you do as a
28:43 consultant I do I do a fair amount of
28:45 this work and a lot of the work that you
28:47 do is asking questions and then going
28:50 away and doing research and then
28:51 formulating an answer and things like
28:54 that and and I think that clients are
28:57 increasingly going to be able to do that
28:59 for themselves so one of the one of the
29:01 things that will happen is
29:02 I think demand for Consulting Services
29:06 will precipitously drop but it won't be
29:08 an obvious thing you'll probably still
29:10 have your annual contracts but you just
29:12 may interact with people less because
29:13 there's effectively self-servicing
29:16 um Consulting you know asking questions
29:18 and getting decent answers
29:20 um again I think there's a there's a a
29:23 very real possibility that the high-end
29:25 Consultants the ones that that the
29:27 businesses really trust
29:30 um
29:31 will be could have driven to do more
29:33 more human interaction more more back
29:35 and forth interaction so
29:37 um so I don't think Consulting is dead
29:38 but I think the business changes
29:40 dramatically I think you're gonna have
29:41 to respond you know within 24 hours if
29:45 not within an hour
29:47 um to to relatively complicated
29:49 questions I would think that
29:52 um one of the I'm working with a an
29:54 organization right now to do this if
29:56 you've got proprietary information about
29:59 how you analyze things how you look at
30:01 the world your world view creating a
30:03 chat bot that lets someone interact with
30:05 your effectively your intellectual
30:07 property in real time a tool like that
30:10 and then and then once they get their
30:11 answers with your proprietary
30:13 information they can say Okay I want to
30:15 talk to Jim about you know this thing
30:17 that I found
30:18 um I think something like that may work
30:20 but I think I think the model changes I
30:21 think the how you build clients changes
30:24 I I think expectations change how you
30:26 sell it changes where the value is
30:28 changes uh but it's not listen I think
30:30 this is is for every industry out there
30:33 I mean knowledge work in general is is
30:35 in in a mess uh let's see I have to go
30:37 thank you you're welcome you're an
30:39 expert much respect I'm not an expert I
30:41 am I'm curious and trying to learn as
30:45 much as I can from the fire hose uh I'm
30:47 doing my best so thank you for that uh
30:50 big implications to labor markets big
30:51 implications to any Market I I think
30:54 um if you look at if you think of
30:56 business as a square right you have you
30:59 have kind of horizontal people at
31:01 different levels and and um the sort of
31:05 tactical stuff happens at the bottom
31:07 level the Strategic stuff happens at the
31:09 top level and then it's kind of you know
31:11 varying degrees of that as you go down
31:12 through this Square
31:14 think what happens with um with AI is
31:17 that
31:18 um the the bottom the executional layer
31:20 of businesses is going to get automated
31:22 out right so but it's not necessarily
31:25 just the the the lower level or entry
31:27 level people are going to be automated
31:29 out it's also that a lot of the stuff
31:31 that happens in the mid-level and the
31:33 Strategic level that also gets impacted
31:35 so I think you won't need as many VPS to
31:38 figure out strategies and plans because
31:40 you'll be able to do that so I think I
31:43 think you know throughout an
31:44 organization
31:46 um the value of of certain people or the
31:50 requirements of their work may just be
31:52 automated away and then what happens
31:54 next is the real question right we're in
31:57 a capitalist Society so do we just
32:00 um let go of those people and become
32:02 more profitable or do we redeploy those
32:05 people to use these tools to make
32:07 ourselves more productive or increase
32:08 the quality of our work I think both are
32:11 options I'm a fan of like you know do
32:13 better work and charge less for it
32:16 um but yeah who knows who knows
32:20 um thank you so much for your time and
32:21 your answer you're welcome um jukebox AI
32:24 M voice can write a song and sing it
32:26 yeah the the music industry right now if
32:29 you look there was there was a song that
32:31 was put out by it featured it wasn't by
32:35 it featured synthesized voices of Drake
32:38 and the weekend and it was an AI
32:40 composed song it was put on Spotify it
32:43 got like 20 million streams you know on
32:46 Spotify and other services and spotify's
32:48 taking it down
32:50 um
32:51 but
32:52 you know that wasn't by
32:55 um uh that wasn't by Drake or the
32:58 weekend that was just that was like fan
33:00 art right that was like fan so a fan
33:02 created a song featuring those people
33:04 and it got all these hits so it was kind
33:07 of them singing but it wasn't and I
33:09 think I heard I I forget which artist it
33:12 was I think it was sizza one of the one
33:14 of the singing artists just put out a
33:17 thing that she said she said synthesize
33:19 my voice make all the music you want
33:21 just split split it with me 50 50. which
33:24 I thought is fascinating so so I think
33:26 you're gonna see artists where they
33:28 don't even necessarily need to put out
33:29 music other people can put the music uh
33:32 out there as well
33:33 um thanks Kyle this is James from
33:35 acomdays hey James how's it going I
33:37 don't know which James James uh there
33:39 were a few James I knew but uh I think I
33:42 might know who that is but anyway hey
33:43 there how's it going
33:46 um let's see
33:48 um yeah so the music industry is going
33:49 to be really interesting
33:51 um you know intellectual property law I
33:54 feel like the next 20 years the people
33:55 that are gonna get really rich are the
33:57 IP lawyers because they're going to be
33:59 suing on both sides for decades and and
34:02 there's no real right answer
34:04 um this is this is going to take a lot
34:05 of years to sort out because there's a
34:07 lot of gray areas
34:09 um
34:10 yeah so uh
34:12 what else what else can I answer if
34:14 you've got any um questions feel free to
34:17 ask them I've got two new messages I'm
34:20 new to this live thing so I don't quite
34:22 know what to do oh it's Grimes that's
34:24 right Grimes is the the artist that
34:26 offered the 50 50 deal wait is Grimes
34:29 the one that was was Elon musk's
34:30 girlfriend for a while no that was
34:32 someone else or was that Grimes I don't
34:34 know I'm I'm too old for this I
34:37 don't I don't I don't know pop culture
34:40 anymore at all
34:42 uh yes okay so so so actually it's
34:46 that's kind of interesting that that
34:48 Elon musk's ex is the one that put that
34:50 deal out there hmm interesting that's
34:52 very that's I think it's actually quite
34:54 smart because because here's the thing
34:56 any artist who's who's got a well-known
34:58 following right now I mean I only need
35:01 30 seconds of anyone's voice probably
35:03 less than that to really synthesize it
35:05 so
35:07 so anyone who's out there
35:09 um you know whether it's actors or voice
35:12 over actors or musicians who's got you
35:14 know um content in the public
35:16 Marketplace or interviews that they've
35:18 done
35:19 um you're gonna be able to synthesize
35:20 them right and you're going to be able
35:21 to synthesize their looking look if you
35:24 want it and match it to whatever the the
35:26 music video is you want to produce
35:27 you're going to be able to write music
35:29 that sounds like their music without
35:30 having any of those skills
35:32 um so so this is going to happen whether
35:34 artists want it to or not and and you
35:36 know you essentially can't sue everyone
35:39 right people will try but but you know
35:42 we're moving into a world okay here so
35:45 here's an interesting thing copyright
35:47 law is based on copyright and trademark
35:50 law is based on a scarcity mindset
35:52 meaning it was difficult to create
35:54 things in the early days and as we moved
35:56 into digital it got easier and easier to
35:58 produce stuff but you still had to have
36:00 talent and and put the things together
36:02 and it was much more clear you know if
36:04 you were stealing something you were
36:06 literally you know copying and pasting
36:08 elements from you know initially from
36:10 tape and then digitally you know
36:12 snipping Parts together and all the sort
36:15 of 80s and 90s hip-hop IP lawsuits that
36:18 happened were all that but this this
36:20 stuff is different it's we're moving
36:21 into uh like like an infinite amount of
36:24 college infinite amount of content
36:28 um era where it's incredibly easy for
36:31 anyone to create anything and right now
36:33 the tools are really janky and you kind
36:36 of have to hack them together a year
36:37 from now two years from now it's
36:39 literally going to be as simple as I
36:42 want to hear
36:43 um a song by Jay-Z
36:46 um about this that or the other and it
36:48 will just make one and then do you share
36:50 that with the world I don't know if you
36:52 share it with the world does anyone get
36:54 compensated I don't know
36:56 um so so we're moving into fascinating
36:58 times
37:00 um
37:00 let's see oh and and Grimes is the the
37:04 mother of his children that's cool and I
37:07 think she's the mother of the one child
37:08 with the really strange name with the X
37:10 named after the space plane
37:13 uh
37:14 um oh Luke and Leah oh so I guess I
37:18 guess not
37:19 um what do I think will be the impact of
37:21 AI on e-commerce
37:23 um
37:27 I think that e-commerce
37:31 I think how you get to the products is
37:33 going to change pretty dramatically I've
37:34 got a buddy of mine has a a sneaker
37:37 company and he spends a tremendous
37:39 amount of time and money
37:41 with SEO strategies and driving people
37:44 to a site and landing pages and all that
37:47 sort of stuff and and he's his company
37:49 is a minimalist shoe company so it's
37:51 it's uh for for you know minimum it's
37:54 for runners and things like that
37:56 and
37:58 you know with with the plugins with chat
38:01 GPT
38:02 um it it points to a future where where
38:04 effectively the internet becomes your
38:06 own personalized version of the internet
38:08 so rather than going to
38:12 um his website and navigating through
38:14 his Pages or landing on a page you got
38:16 to from from SEO you might start with
38:19 you know my knees ache and then that
38:21 might lead you to some answers about you
38:24 know it could be issues with you know
38:26 tendons or posture or running gait and
38:29 that might lead you to to minimalist
38:31 running theories about you know how
38:33 elevated shoes actually screw up your
38:36 knees and then you might say huh I want
38:37 to try this and you're going to learn
38:38 about the theories behind that and then
38:40 you might say you know who are the
38:41 companies within that and it will tell
38:44 you and then you'll see the products and
38:45 then you might just be able to buy the
38:47 product right so so so
38:49 you've got a problem you're trying to
38:51 solve it and within the context of that
38:54 interaction without going anywhere like
38:57 all of the data is brought to you it's
38:58 it's not even brought to you all of the
39:00 data is generated for you
39:03 in context of what you're trying to
39:05 solve so I think I think
39:08 um understanding how that works and
39:11 making sure that your data sets are as
39:14 active as possible in all of the large
39:16 language models is going to be huge so
39:19 it's not SEO search engine optimization
39:22 it is
39:24 llmo
39:26 um large language model optimization I
39:28 don't even know if there is such a thing
39:29 I think both Google and
39:32 Microsoft will
39:34 um
39:35 we'll try to monetize this stuff so so
39:37 they're going to probably put
39:38 advertising within the large language
39:40 model answers but I can tell you this
39:43 because there's so many open source
39:45 large language models if they do it too
39:47 much and their results start to suck
39:49 people will go to other tools people
39:51 will go to tools that work because once
39:53 you experience just getting an answer
39:54 rather than getting a list of 20 things
39:56 that you've got to sift through you
39:58 don't want to go back so
40:00 um so it's going to be interesting to
40:01 see how they monetize this stuff if they
40:03 try to do it with advertising
40:05 um I said I was starting a business what
40:08 is it and how are you going to do it um
40:10 no I've started a business I'm 11 years
40:11 into a business
40:14 um
40:16 I am
40:17 rethinking my business I'm rethinking
40:21 um how we do what we do I'm rethinking
40:23 what the core value proposition is of
40:26 the business
40:28 um I'm rethinking what it
40:30 is and what it can be
40:33 um and I've actually got that decently
40:34 well articulated now
40:36 um and I I showed that to one of our our
40:39 major clients
40:40 um last week
40:42 and they were so excited about it they
40:44 said can you hop on a plane and come out
40:46 here and see us next week to talk about
40:48 it
40:49 so
40:50 um
40:51 so yeah is as as I start to integrate
40:54 what a AI makes possible into my
40:56 business in a lot of ways it's like I'm
40:57 restarting the business
40:59 um but haven't quite done it yet it's
41:01 the business is still what it is but the
41:03 future of it looks very very different
41:07 um what other questions can I ask or can
41:09 I answer I can probably ask a lot of
41:11 them
41:12 um I can also show you some things
41:15 here on uh
41:18 on the internets if you want me to to do
41:20 anything let's see
41:22 um I have an idea using AI for SAS
41:25 project management consulting any advice
41:28 um
41:31 thank you I will be a success I
41:33 appreciate that
41:35 um
41:36 the project management SAS companies are
41:39 really interesting one because I think a
41:40 lot of project management is going to be
41:42 handled automatically
41:45 um
41:46 I don't know how quickly that's gonna
41:48 happen and you could potentially start
41:50 that company right so so if here's the
41:54 thing anywhere where you've got deep
41:55 expertise what I would say is start
41:57 using
41:59 um generative AI
42:01 um to do what you can like chat GPT can
42:04 probably do
42:06 um you know flow charts Gantt charts all
42:08 that sort of stuff if you know sort of
42:10 take the code of what it generates and
42:12 put it in tools that can visualize it
42:15 um it can it can probably do some pretty
42:17 sophisticated stuff right now and if you
42:19 if you use automation tools like zapier
42:21 and I think there's another one called
42:23 make
42:24 um where you can stitch actions together
42:26 you could probably build some pretty
42:28 sophisticated project management tools
42:30 so
42:31 um so I think it's a uh
42:35 I think it's an interesting idea but I
42:37 would be careful not to start something
42:40 that automates project management as it
42:44 is today because project management as
42:47 it is today is going to
42:50 it's just it's going to cease to exist
42:53 in the form it is
42:55 um
42:56 it's going to emerge as something new
42:58 like we still need listen
43:00 we still need people on this planet that
43:02 are good at organizing stuff I'm not one
43:04 of them I need project managers in my
43:06 life because I'm you know I'm a horrific
43:08 mess when it comes to that stuff
43:11 um so we're still gonna need those kind
43:12 of people but a lot of the like a lot of
43:15 the work that project managers do is
43:17 dealing with these massively complicated
43:20 software programs to track these
43:23 massively complicated projects and they
43:25 have the what what I consider magical
43:27 ability to do all that and keep it in
43:29 their head or at least be able to track
43:31 it in these tools
43:33 you know imagine being able to say to a
43:36 tool to just to a a project management
43:40 front end hey the client's going to be
43:42 two days late on this deliverable please
43:46 adjust everything accordingly and it
43:48 just does right it trickles that change
43:51 through you know every element of of the
43:54 the system and it might even be smart
43:56 enough to go
43:58 um you know one of your deadlines is
44:00 marked as critical and this two-day
44:01 delay here you know when I when I when I
44:04 run it down to the bottom of the of the
44:06 plan it's a it's a two-month delay and
44:09 you've got a critical deadline that's
44:11 one month out and it it might flag that
44:13 so then you can go back to the client
44:15 and say hey this two days is going to
44:17 cost us two months down the road do you
44:19 wanna do you want to deal with this now
44:20 or do you want to deal with this later
44:22 um so but again I think I think if
44:25 you've got those skills your ability to
44:27 understand
44:29 um how project management might change
44:31 with these tools is probably better than
44:33 someone who doesn't know it so
44:35 like with everyone I say get curious
44:38 about this stuff lean into it
44:41 um that's what you're afraid of I know
44:42 sorry
44:43 okay great you're the if if you're
44:46 someone who can track all that stuff
44:48 you're a miracle worker in in my uh in
44:52 my world because that's how anything
44:54 gets done around me
44:57 um they wanted to pay the same amount I
44:59 don't know if that's in reference to oh
45:01 wait my wife is an editor writer one of
45:04 her clients came to her and said they
45:05 wanted 10x output for the same amount of
45:07 money yeah
45:08 so so I think that's going to happen a
45:11 lot and then I think you have a choice
45:12 to make so again the the money that
45:14 she's charging is is based on a scarcity
45:17 mindset
45:18 depending on what she's writing if she's
45:20 writing
45:22 um relatively replicable things like
45:25 blog posts or not replicable things that
45:28 are more formulaic
45:30 um where it's the same kind of thing
45:31 over and over again I would say
45:34 um that's the kind of thing where the
45:35 the fact that they're coming to her and
45:37 saying we want 10x output for the same
45:39 price rather than just saying hey thanks
45:41 we've got it from here
45:43 um I think I think a lot of writers are
45:45 going to start facing that reality where
45:47 people are just going to pull this stuff
45:49 in house because they've got someone
45:50 that knows how to use chat gbt and it
45:52 generates enough of this content I've
45:54 generated I've created four different
45:56 content generation tools in the past
45:59 couple of months
46:00 um they're remarkably good they're
46:02 remarkably good
46:03 um if you want you know if what she does
46:06 is is more high-end
46:09 um like in investigative journalism or
46:11 something like that that requires time
46:13 and
46:14 and things like that that might not be a
46:17 situation but I I think you know writing
46:20 is one of those areas where where the
46:22 value of it uh is going to drop
46:25 precipitously I mean we we're moving
46:27 into a world where there's no scarcity
46:29 of content
46:32 um
46:33 okay hey I'm thinking oh wait
46:36 oh she told them to shove it I listen I
46:38 completely understand that I think that
46:42 um
46:43 if she can maintain her rates in in
46:47 what's coming more power to her
46:50 um yeah if you've got your own things
46:52 you can work on then then put put your
46:54 put yeah if she's got skills I would say
46:56 you know put put your effort into
46:59 um projects that you've got more control
47:00 of where where you know you can control
47:03 the outcome as well so
47:05 um yeah it I I think that's not the last
47:08 we'll hear of that uh I'm thinking AI
47:10 could produce new perfume based on my
47:13 personal
47:14 whatever question mark my personal yeah
47:17 um I think so I did a um
47:21 I've got some of my family are in pain
47:24 and they they have this pain juice that
47:27 they took that was some combination of I
47:29 don't know it had turmeric and a bunch
47:31 of other stuff in it
47:33 um and and I use chat GPT to analyze
47:37 what was in it both the active
47:39 ingredients and the inner ingredients I
47:42 had it
47:43 see if it could recommend any other kind
47:46 of things that would help with their
47:47 conditions and it did
47:50 um it then told me the purpose of what
47:52 all of those elements did
47:54 and then I said okay based on that can
47:57 you help me come up with a recipe to
47:59 recreate this stuff because the company
48:01 went out of business
48:02 um and it did that so I would I would
48:04 think that you could very very easily
48:07 ask chat GPT to give you a rundown of
48:10 the different kinds of ingredients that
48:12 are in perfume
48:14 um and even probably kind of reverse
48:16 engineer your favorite perfume and say
48:18 well I like I like what's in this one
48:20 and what's in that one
48:22 depending on what it what it understands
48:24 to be in those things you could probably
48:27 create a personalized perfume
48:30 um formula probably within an hour or
48:33 two so yes you can do that
48:37 now let's see can AI explore Alternative
48:40 Energy Systems like Stan Myers RF
48:42 systems the great fuel processor I think
48:45 that
48:46 um yes I think that AI is going to start
48:49 solving a lot of problems
48:53 um that that have been persistent
48:55 problems
48:57 um so whether it's hydrolysis you know
49:00 getting hydrogen off of water and and
49:03 figuring out a way to do that that's
49:05 actually energy positive like Stan Meyer
49:08 said he had or whether it's curing
49:11 cancer
49:13 um Sam Altman in one of his talks said
49:16 that he thinks that we'll see a year in
49:17 the not too distant future where where
49:20 we will see in a single year the amount
49:23 of scientific advancement we've seen in
49:25 the past 500.
49:27 um so I I think that
49:31 um
49:32 the as as
49:34 these tools get more advanced and
49:38 and more and more people start
49:40 um using them to solve different
49:43 components of problems
49:45 um I think I think we're going to see
49:46 some pretty remarkable changes
49:49 let's see
49:51 um going to have some hard decisions
49:53 coming down the pipeline for many
49:54 working people yeah so here's here's
49:56 here's a here's a silver lining
49:58 hopefully to the Dark Cloud that I mean
50:00 the disruption that's coming is going to
50:02 be massive and it's going to be painful
50:04 but for every person that is displaced
50:07 they also have access to all of these
50:09 powerful tools
50:10 so I think what's going to end up
50:12 happening is you're going to start to
50:14 get you know three or four people that
50:16 got you know dumped from a company
50:18 unceremoniously because you know the
50:20 capitalist machine took over and said
50:22 you know cut the cut the excess
50:25 um they're going to take these tools and
50:27 they're going to start a competitor to
50:29 that company and they're probably going
50:30 to take it down because they're going to
50:31 start it without any baggage of you know
50:34 whatever you know whatever was the
50:36 baggage of that company for the for the
50:38 past decade or 30 years whatever it
50:40 might have been so I think we're going
50:41 to see a lot of innovation I I think
50:43 we're going to see uh the the displaced
50:46 people I mean human beings are going to
50:47 fill their time right there I I there's
50:51 kind of a narrative out there that that
50:52 these machines are going to take
50:54 people's jobs and they're going to
50:57 um
51:00 the people are just going to sit around
51:02 and be destitute and I just it's not
51:04 human nature I think people are going to
51:06 get displaced and they're going to be
51:07 pissed off and they're going to try to
51:08 do eBay or they're going to try to do
51:09 this and that may or may not work
51:11 and then they're going to start be
51:12 playing with AI and all of a sudden
51:14 they're gonna go wait a minute and
51:15 they're going to come up with an idea
51:16 and with themselves or with another
51:19 person or two they're going to be able
51:21 to do remarkable things because of the
51:23 power of these tools right so so this
51:25 doesn't just benefit the big
51:26 corporations it benefits individuals who
51:29 are displaced so
51:31 um so I think there's a bit of a silver
51:32 lining there but I think I think the
51:34 next two to three years
51:36 um are going to be pretty painful
51:39 because
51:40 the definition of what work is and what
51:45 um where the value of certain jobs is is
51:48 going to change dramatically and and so
51:51 I would say getting curious about AI
51:54 being flexible about how you define
51:56 yourself if you define yourself as I'm a
51:59 writer and that's all I do and that's
52:01 all I'm going to think about
52:02 you're probably going to be hurt more
52:04 than someone who goes I've got writing
52:07 skills and I'm willing to apply those
52:08 writing skills in a lot of different
52:10 areas and especially with these tools
52:11 that require some writing skills to get
52:14 good good content out of them
52:16 um you know they're going to do better
52:18 than someone who just tries to stick
52:20 with the way it was because the way it
52:22 was is changing for everyone
52:25 um let's see numerous folks just got
52:27 laid off from Silicon Valley are going
52:29 to be building massive amounts of tools
52:31 exactly
52:32 and and it's actually really interesting
52:34 I heard uh the on Jason kalkanus's
52:37 podcast I forget what it's called but um
52:40 they were talking about this is I I have
52:43 I have no um pity for for VCS facing
52:47 challenges but VCS are going to be
52:48 facing challenges because
52:50 you're not going to need 500 million
52:53 dollars to start up a new technology
52:55 startup with these AI tools you might
52:57 need 30 or 50 million total right or
52:59 less right you know five or ten or two
53:01 or three
53:02 um to create incredibly sophisticated
53:04 companies um and so
53:07 um they're they're not going to be able
53:09 to invest like below a certain threshold
53:11 the big VC firms they don't make any
53:13 money it's not in their business model
53:15 so I think it might even impact the VC
53:17 Market how that works uh yeah no pity
53:20 exactly
53:21 um and yeah I I think I think the
53:24 opportunity for individuals in the next
53:26 two to three years is as massive as the
53:30 impact of people are going to lose their
53:32 jobs right
53:34 um
53:34 these tools are remarkable Sam Altman
53:37 described them as you know putting magic
53:40 in people's hands and see what they do
53:42 with it that's that's what these tools
53:43 are they are magic
53:45 um you just got to look at them like
53:47 that and not be too afraid
53:49 let's see all right I need to go do some
53:52 grocery shopping let's say do I still
53:54 carry guilt over the first time I can
53:57 that's nice committed infidelity
54:02 um what was it I used to there's a joke
54:04 are you still hitting your wife
54:06 um let's see can AI Alternative Energy
54:11 what's good
54:14 um all right I think that's about it
54:16 um this was my first live I don't really
54:18 know how to do these things so if this
54:20 sucks my apologies if this was good I'd
54:21 have a new message what's the new
54:23 message
54:24 yeah I Rock's happy to hear about your
54:25 meeting thank you very much appreciate
54:27 that
54:28 thanks for the views thank you thank you
54:30 all for staying and watching uh I'm
54:32 gonna run off I'm gonna go do some uh
54:34 some grocery shopping get some stuff for
54:36 the fam and uh I will be back I guess
54:39 I'll I'll do these if they're of value I
54:42 don't I don't know where you dropped me
54:43 a comment but drop me a comment or I
54:45 guess you've been dropping them here so
54:48 like I said I'm new to this and I'm an
54:50 old guy so I don't know technology all
54:52 right everybody I'll talk to you soon